Data mining : concepts and techniques /
Jiawei Han, Micheline Kamber, and Jian Pei
- Amsterdam : Elsevier Science, c2012
- xxxv, 703 pages : illustrations ; 25 cm.
Includes bibliographical references and index.
Chapter 1. Introduction -- Chapter 2. Getting to know your data -- Chapter 3. Data processing -- Chapter 4. Data warehousing and online analytical processing -- Chapter 5. Data cube technology -- Chapter 6. Mining frequent patterns, associations, and correlations : basic concepts and methods -- Chapter 7. Advanced pattern mining -- Chapter 8. Classification : basic concepts -- Chapter 9. Classification : advanced methods -- Chapter 10. Cluster analysis : basic concepts and methods -- Chapter 11. Advanced cluster analysis -- Chapter 12. Outliner detection -- Chapter 13. Data mining trends and research frontiers.
The increasing volume of data in modern business and science calls for more complex and sophisticated tools. Although advances in data mining technology have made extensive data collection much easier, it’s still always evolving and there is a constant need for new techniques and tools that can help us transform this data into useful information and knowledge. Since the previous edition’s publication, great advances have been made in the field of data mining. Not only does the third of edition of Data Mining: Concepts and Techniques continue the tradition of equipping you with an understanding and application of the theory and practice of discovering patterns hidden in large data sets, it also focuses on new, important topics in the field: data warehouses and data cube technology, mining stream, mining social networks, and mining spatial, multimedia and other complex data.